A nomogram for predicting occult lymph node metastasis in early hypopharyngeal cancer with cN0

Yuan, Xiao; Hsueh, Chi‐Yao; Zhang, Ming; Tao, Lei; Zhou, Liang

doi:10.1007/s00405-021-06648-1

Cited by 10 publications

(14 citation statements)

References 26 publications

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“…Synthetically considering the driving factors of metastasis and tumor intrinsic characteristics would facilitate reliable prediction results, and in this study, we incorporated obesity and diabetes, common metabolic diseases recently identified as tumor metastasis promoters, to construct a model to predict early OSCC metastasis events. As validation and comparison to previous studies (21,22), this constructed model has reference value for clinicians in making neck management decisions of early OSCC patients. The 8th AJCC staging manual redefined the T staging of tumors originating from the lip and oral mucosa by taking DOI into consideration.…”

Section: Comparison With Previous Modelsmentioning

confidence: 86%

“…To examine the advantages of this model, we calculated the C-index, AIC, NRI, and IDI compared to previously reported versions (21,22). The results showed our model had advantages on the overall trend, although some changes were not significant a variety of advanced auxiliary examinations have been applied, the presence and likelihood of occult metastasis remains uncertain.…”

Section: Comparison With Previous Modelsmentioning

confidence: 96%

“…In this study, we constructed a novel model and validated it for predicting the probability of cervical occult metastasis in early OSCC based on demographic parameters, pathological characteristics, and metabolic disorders [assessed by body mass index (BMI) and diabetes]. Compared to previous studies (21,22), our model exhibits superior discrimination and calibration capabilities. This model might have certain reference value when clinicians make neck management decisions for the clinical neck negative early OSCC patients.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Development and validation of a nomogram to predict occult cervical metastasis in early oral squamous cell carcinoma

Xu¹,

Chen²,

Yin³

et al. 2023

Ann Transl Med

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Background: Lack of adequate objectivity and universality, available models are still difficult to be applied to clinical practice in predicting occult cervical metastasis of early oral squamous cell carcinoma (OSCC).Taking abnormal metabolic state into consideration, the current model is helpful to distinguish those patients with or without occult cervical metastasis.Methods: This study retrospectively analyzed 330 OSCC patients initially diagnosed cT1-2N0M0 stage and received neck dissection from January 2020 to July 2022. The occult cervical metastasis was identified by pathological examination.. After screening independent risk factors using logistic regression, patients were divided into training and validation cohorts at the ratio of 2:1 randomly, and a novel diagnostic model was constructed. Performances of this model were evaluated by the area under the curve (AUC), calibrating curve, decision curve analysis (DCA) and clinical impact curve (CIC).Results: Of the 330 included patients {age mean [standard deviation (SD)], 61.24 (12.99) years; 202 (61.2%) males}, 49 (14.8%) had occult nodal metastasis. Five variables, including body mass index (BMI) [high odds

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Section: Comparison With Previous Modelsmentioning

confidence: 86%

Section: Comparison With Previous Modelsmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development and validation of a nomogram to predict occult cervical metastasis in early oral squamous cell carcinoma

Xu¹,

Chen²,

Yin³

et al. 2023

Ann Transl Med

View full text Add to dashboard Cite

show abstract

“…Tumor thicknesses greater than 1000 µm Fig. 2 Ninety-six patients were divided into three groups according to the number of risk factors, and overall survival (OS) (a), recurrence-free survival (RFS), b and disease-free survival (DFS) (c) were determined by the Kaplan-Meier method 1 3 [16,17] and tumor invasion extending to the muscular layer [18] indicate the risk of lymph node metastasis. However, these evaluations were performed using resected specimens, so these risk factors could have cleared after surgery.…”

Section: Discussionmentioning

confidence: 99%

Validation of the risk factors for primary control of early T-stage laryngeal, oropharyngeal, and hypopharyngeal squamous cell carcinoma by transoral surgery: a prospective observational study

et al. 2021

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Background We had previously identified the following risk factors for insufficient control of early T-stage head and neck cancer by transoral surgery (TOS): (1) tumor thickness > 7 mm on enhanced computed tomography (CT), and (2) poor differentiation in pathological examination. We subsequently used a different patient cohort to validate the usefulness of these factors in determining the need for adaptation of TOS. Study setting A prospective observational study Methods Patients who received TOS as a definitive treatment between April 1, 2016 and September 30, 2020 were included. Primary control rates (by single TOS and TOS alone) in relation to the above-mentioned risk factors were calculated. Overall (O), recurrence-free (RF), and disease-free (DF) survival (S) outcomes were evaluated. A combination analysis based on the number of risk factors was also performed. Results Patients with tumor thickness > 7 mm had a 2.88-fold [95% confidence interval (CI) 1.01-8.51] higher risk of incomplete primary resection by single TOS, while patients who showed poor differentiation on pathological assessments had a 13.14-fold (95% CI 3.66-47.14) higher risk of insufficient primary control by TOS alone. The 3 year OS, RFS, and DFS rates were 99%, 83%, and 63%, respectively. Patients with both risk factors had a 93.00-fold (95% CI 4.99-1732.00) higher risk of incomplete primary control by TOS alone. Conclusions Among patients with early-stage laryngeal, oropharyngeal, and hypopharyngeal squamous cell carcinoma, primary control by TOS alone may not be achieved in patients with both risk factors, that is, tumor thickness > 7 mm as measured by enhanced CT and poor differentiation on pathological examination.

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“…However, clinical practice clearly shows that approximately 70% of early-stage OSCC patients undergo needless neck dissections (8). To formulate individualized surgical treatment for different OSCC patients, an accurate method to judge lymph node metastasis needs to be urgently explored (9).…”

Section: Introductionmentioning

confidence: 99%

A Combined Prediction Model for Lymph Node Metastasis Based on a Molecular Panel and Clinicopathological Factors in Oral Squamous Cell Carcinoma

Wang

Liu

et al. 2021

Front. Oncol.

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ObjectiveLymph node metastasis is the most important factor influencing the prognosis of oral squamous cell carcinoma (OSCC) patients. However, there is no proper method for predicting lymph node metastasis. This study aimed to construct and validate a preoperative prediction model for lymph node metastasis and guide personalized neck management based on the gene expression profile and clinicopathological parameters of OSCC.MethodsBased on a previous study of related genes in OSCC, the mRNA expression of candidate genes was evaluated by real-time PCR in OSCC specimens. In this retrospective study, the gene expression profile and clinicopathological parameters of 112 OSCC patients were combined to construct the best prediction model for lymph node metastasis of OSCC. The model was validated with 95 OSCC samples in this study. Logistic regression analysis was used. The area under the curve (AUC) ultimately determined the diagnostic value of the prediction model.ResultsThe two genes CDKN2A + PLAU were closely related to lymph node metastasis of oral squamous cell carcinoma. The model with the combination of CDKN2A, PLAU, T stage and pathological grade was the best in predicting lymph node metastasis (AUC = 0.807, 95% CI: 0.713-0.881, P=0.0001). The prediction model had a specificity of 96% and sensitivity of 72.73% for stage T1 and T2 OSCC (AUC = 0.855, 95% CI: 0.697-0.949, P=0.0001).ConclusionsHigh expression of CDKN2A and PLAU was associated with lymph node metastasis in OSCC. The prediction model including CDKN2A, PLAU, T stage and pathological grade can be used as the best diagnostic model for lymph node metastasis in OSCC.

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A nomogram for predicting occult lymph node metastasis in early hypopharyngeal cancer with cN0

Cited by 10 publications

References 26 publications

Development and validation of a nomogram to predict occult cervical metastasis in early oral squamous cell carcinoma

Development and validation of a nomogram to predict occult cervical metastasis in early oral squamous cell carcinoma

Validation of the risk factors for primary control of early T-stage laryngeal, oropharyngeal, and hypopharyngeal squamous cell carcinoma by transoral surgery: a prospective observational study

A Combined Prediction Model for Lymph Node Metastasis Based on a Molecular Panel and Clinicopathological Factors in Oral Squamous Cell Carcinoma

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